What is student AI fluency?

Student AI fluency is the ability to use AI tools competently, critically, and ethically across academic and professional contexts — organized across six domains and four levels in the Navigate AI AI Fluency Map.

How is student AI fluency different from AI literacy?

AI literacy tends to focus on awareness and basic understanding. Student AI fluency is a broader capability model that includes critical evaluation, ethical reasoning, production skills, and field-relevant application.

How can institutions implement the student AI fluency curriculum?

The curriculum is designed for embedded use in existing courses, microcourse or bootcamp formats, seminar-style models, or broader pathway-based rollout across programs or a full campus.

Is this curriculum for Gen Ed, majors, or co-curricular programs?

It can support all three. The model is designed to flex across different institutional realities rather than forcing one delivery format.

AI-Ready Graduate

Define the student capability. Build it across the curriculum. Make it visible in evidence.

The AI-Ready Graduate framework helps business schools move beyond scattered AI exposure toward Human+AI Fluency: students who can use AI purposefully while preserving judgment, verification, responsibility, communication, and professional accountability.

Discuss the student solution See implementation options →

The design principle

Build the capabilities students need at the points where they matter.

The goal is to help students decide when AI is useful, guide it well, protect information, verify outputs, explain the process, and apply it responsibly in the work they are preparing to do.

Human judgmentAI capabilityWorkforce readiness

A shared language for student capability

Seven domains of Human+AI Fluency.

The domains give students, faculty, programs, and career-readiness teams a common way to define what good AI-assisted work requires.

Domain	Student-facing question	Example evidence
AI Foundations	Do I understand what AI is, what it can do, and where it can fail?	AI Concepts Brief
AI Workflows	Can I use AI purposefully inside a well-designed work process?	AI Workflow Map
Judgment & Verification	Can I check the claims, logic, evidence, bias, and usefulness of AI output?	Verification Log
Data Stewardship	Can I protect personal, confidential, proprietary, and restricted information?	Data Stewardship Check
Responsible Use	Can I make transparent, fair, accountable decisions about when and how to use AI?	Responsible Use Note
AI Communication	Can I explain what AI did, what I did, and how the final work was created?	AI Process Appendix
Professional Application	Can I apply AI meaningfully in my field, role, or workplace context?	Professional Application Artifact

Development over time

Students grow from awareness to integrated professional practice.

Programs choose the target level for each domain. Introductory courses may build awareness and informed use. Major courses, capstones, internships, and advanced experiences can require capable or integrated performance.

Aware

Recognizes concepts, tools, uses, and basic risks.

Informed

Uses AI purposefully in bounded ways and understands key responsibilities.

Capable

Applies, verifies, documents, and adapts AI use to context.

Integrated

Designs responsible Human+AI workflows for professional work.

Verification LogJudgment & verification

AI Process AppendixCommunication

Professional ApplicationCareer readiness

The AI-Ready Evidence Portfolio

Students should leave with visible evidence of AI readiness.

Seven modular artifacts show how students understand, use, verify, protect, explain, and apply AI. Faculty gain assessable evidence. Students gain material they can translate into portfolios, resumes, interviews, internships, and professional conversations.

AI Concepts BriefAccurate mental models and limitations.

AI Workflow MapPurposeful Human+AI process design.

Verification LogClaims, sources, logic, and revisions.

Data Stewardship CheckPrivacy, ownership, and tool boundaries.

Responsible Use NoteEthics, fairness, agency, and accountability.

AI Process AppendixTool role, prompts, revisions, and verification.

Professional Application ArtifactDiscipline-specific value and judgment.

Flexible implementation

Use the framework at the level that fits the school.

AI-Ready Graduate is the architecture. Schools can apply it in one assignment, map it across a program, or adopt a more visible multi-year pathway.

Assignment

Target one or two domains

Use competency descriptors, evidence artifacts, and the core rubric inside a priority assignment.

Example implementation option

The AI-Ready Graduate Pathway

A three-level, six-studio, three-credit sequence with approximately 120 documented learning hours. Students move from foundations and workflows into verification, data stewardship, ethics, professional application, and executive decision packages.

Six complete studio guides
Student workbook and portfolio kit
Faculty resources, datasets, and ethics cases
Annual curriculum versioning

Course

Build a coherent capability strand

Align outcomes, assignments, feedback, and evidence across one course or a set of priority courses.

Program

Map progression across the curriculum

Show where domains are introduced, practiced, demonstrated, and documented.

Career readiness

Translate learning into professional language

Help students explain their workflow, verification, data decisions, and accountability to employers.

What the school receives

A capability framework, curriculum architecture, evidence system, and practical implementation tools.

Seven-domain graduate capability framework with four developmental levels.
Program-level curriculum map and gap analysis.
AI-Ready Evidence Portfolio and assessment rubric.
Assignment planners, course tools, student guide, and faculty workshop model.
Optional licensed Pathway curriculum with six studios and instructor resources.
Leadership evidence package and implementation roadmap.

Outcome chain

Define
What should students be able to do?

Develop
Where will they learn and practice it?

Demonstrate
What evidence will show capability?

Improve
How will findings change the curriculum?

Give students a clear path from AI exposure to Human+AI Fluency.

Start with one program, a curriculum map, or the AI-Ready Graduate Pathway as a visible implementation model.

Discuss AI-Ready Graduate See how the Diagnostic finds the gap

Student capability next step

Want a clearer student AI fluency model for your campus, GenEd, or program?

Start with your institutional context. Whether you need an embedded model, a microcourse, a bootcamp/seminar, or a pathway approach, this form is the fastest way to scope the right next step.

First Name

Last Name

Institution

Role / Title

Student Fluency Interest

Tell us more

Helpful detail: Tell us your institution type, the students you’re trying to serve, whether this is for GenEd, a major, QEP, or a pilot, and which implementation format you are considering.

Best use cases